Non-parametric testing is done when which of these are applicable? (Note: There are 3 correct answers).

Question

Quizplus · Accepted Answer

Non-parametric testing is used when data does not meet the assumptions required for parametric tests such as normal distribution, equal variances, etc. It is suitable for testing hypotheses related to median or ranking of data, instead of mean or standard deviation. Therefore, options B, C, and D are applicable for non-parametric testing. Option A is not always correct as sometimes modifying the assumptions of the t-tests may produce the required results. Option E is incorrect as non-parametric tests still require data and parameters to measure, just not necessarily the same parameters as parametric tests.

Non-Parametric Testing Is Done When Which of These Are Applicable